An advanced bidirectional reflectance factor (BRF) spectral approach for estimating flavonoid content in leaves of Ginkgo plantations

银杏 类黄酮 高光谱成像 反射率 产量(工程) 天蓬 镜面反射 植物 化学 园艺 数学 生物 遥感 材料科学 光学 地质学 物理 冶金 抗氧化剂 生物化学
作者
Kai Zhou,Lin Cao,Shiyun Yin,Guibin Wang,Fuliang Cao
出处
期刊:Isprs Journal of Photogrammetry and Remote Sensing [Elsevier BV]
卷期号:193: 1-16 被引量:8
标识
DOI:10.1016/j.isprsjprs.2022.08.020
摘要

As a key phenolic pigment concentrated in the surface tissues of leaves, flavonoids (Flav) are the major bioactive ingredients in Ginkgo leaf extracts. Flav are also marked natural antioxidants and significant indicators of biotic and abiotic stresses, critical for determining cultivation quality and enhancing Flav yield. In particular, area-based Flav (Flavarea) is related to the shortwave-blue light interaction within leaves per unit leaf area, whereas mass-based Flav (Flavmass) is useful for the quantitative assessment of Flav yield. In order to accurately estimate the contents of Flavarea and Flavmass in leaves of Ginkgo plantations, in this study, we developed an advanced bidirectional reflectance factor (BRF) spectra-based approach by reducing the effects of specular reflection and enhancing the absorption signals of Flav (in the shortwave-blue region of spectrum), using a suite of new spectral indices (SIs) (i.e., flavonoid index (FI), modified flavonoid index (mFI) and double difference index (DD)) calculated from the leaf clip equipped spectrometers-collected data. The results demonstrated that most of the SIs derived from the developed BRF spectra-based approach obtained relatively high performance for Flav estimation by alleviating adverse effects of specular reflection to different extents (CV-R2 = 0.60–0.76). In specific, DDnir434,421 selected from DD-type indices performed (CV-R2 = 0.76 for Flavarea; CV-R2 = 0.69 for Flavmass) better than other indices. These findings represent marked potentials of the developed BRF spectra-based approach for non-destructively estimating leaf Flav content, as well as improving the understanding of the mechanisms of specular effects on Flav estimations in leaves of Ginkgo plantations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
py2026发布了新的文献求助30
1秒前
4秒前
4秒前
张东震发布了新的文献求助10
5秒前
秋风的应助被安慕希好希采纳,获得10
6秒前
糖炒栗子发布了新的文献求助10
7秒前
慕青的应助被iuhgnor采纳,获得10
7秒前
爆米花的应助被ma636908采纳,获得30
7秒前
甄晓溪完成签到,获得积分10
7秒前
7秒前
菜菜完成签到,获得积分10
9秒前
江城完成签到,获得积分10
9秒前
科研通AI6.4的应助被sui采纳,获得10
9秒前
starain发布了新的文献求助10
9秒前
9秒前
云顶完成签到,获得积分10
10秒前
医者学也完成签到,获得积分10
10秒前
10秒前
13秒前
研友_VZG7GZ的应助被NgaMan采纳,获得10
13秒前
molihuakai的应助被淡淡的铭采纳,获得10
13秒前
云顶发布了新的文献求助10
14秒前
yangyang完成签到,获得积分10
14秒前
15秒前
YDL完成签到,获得积分10
16秒前
xiaoguang li发布了新的文献求助30
16秒前
17秒前
18秒前
WYYA发布了新的文献求助30
18秒前
20秒前
澪音发布了新的文献求助10
20秒前
21秒前
笑呵呵完成签到,获得积分10
21秒前
香蕉觅云的应助被萝卜采纳,获得10
21秒前
仁爱糖豆发布了新的文献求助10
22秒前
糖炒栗子发布了新的文献求助10
24秒前
24秒前
李健的应助被WYYA采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7789378
求助须知:如何正确求助?哪些是违规求助? 9327119
关于积分的说明 20415914
捐赠科研通 7378641
什么是DOI,文献DOI怎么找? 3322718
关于科研通互助平台的介绍 2470669
邀请新用户注册赠送积分活动 2339535